PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?language ?languageLabel ?num WHERE {
  ?wiki wdt:P31 wd:Q10876391 ; wdt:P407 ?language .
  ?language wdt:P1098 ?num .
  FILTER ( ?num > 3000000 ) FILTER ( ?language != wd:Q1860 ) OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}
ORDER BY DESC ( ?num )

Got 166 rows and 3 columns, showing the first 5 and last 5 rows below:
| language                    | languageLabel        | num                      |
| --------------------------- | -------------------- | ------------------------ |
| Chinese (wd:Q7850)          | Chinese (en)         | 1299877520 (xsd:decimal) |
| Spanish (wd:Q1321)          | Spanish (en)         | 485000000 (xsd:decimal)  |
| Hindi (wd:Q1568)            | Hindi (en)           | 341000000 (xsd:decimal)  |
| Bangla (wd:Q9610)           | Bangla (en)          | 300000000 (xsd:decimal)  |
| Portuguese (wd:Q5146)       | Portuguese (en)      | 254300000 (xsd:decimal)  |
| ...                         | ...                  | ...                      |
| Mazanderani (wd:Q13356)     | Mazanderani (en)     | 3270000 (xsd:decimal)    |
| Jamaican Patois (wd:Q35939) | Jamaican Patois (en) | 3200000 (xsd:decimal)    |
| Dagbani (wd:Q32238)         | Dagbani (en)         | 3160000 (xsd:decimal)    |
| Swedish (wd:Q9027)          | Swedish (en)         | 3118000 (xsd:decimal)    |
| Waray (wd:Q34279)           | Waray (en)           | 3100000 (xsd:decimal)    |

There are 166 languages (other than English) that have a Wikipedia language edition and more than 3,000,000 speakers. The SPARQL query above returns their Wikidata IRIs, English labels, and number-of-speakers values. Example top entries: Chinese (wd:Q7850, 1,299,877,520), Spanish (wd:Q1321, 485,000,000), Hindi (wd:Q1568, 341,000,000), Bangla (wd:Q9610, 300,000,000), Portuguese (wd:Q5146, 254,300,000). To get the full list, run the provided SPARQL query against the Wikidata endpoint.

What are the languages, other than English, that have a Wikipedia language edition and more than 3,000,000 speakers?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the languages, other than English, that have a Wikipedia language edition and more than 3,000,000 speakers?

[Assistant] Step 1: I'll search for entities related to Wikipedia language editions and for properties that indicate number of speakers. I'll start by finding how Wikipedia language editions are represented in Wikidata (e.g., items like "Spanish Wikipedia") and then find how to link them to language items. I'll search for "Wikipedia" to find such items. I'll run a search for entities matching "Wikipedia". I'll explain results and then refine.

[Tool]
Top 10 entity alternatives:
1. Spanish Wikipedia, also known as eswiki, Spanish-language Wikipedia, Spanish language Wikipedia, esWP, eswp (wd:Q8449): instance of Wikipedia language edition, Spanish-language edition of Wikipedia, instance of MediaWiki instance
2. Spanish Wikipedia (wd:L1013665-S1)
3. Spanish word vectors from Wikipedia (wd:Q31888978): instance of scholarly article, article
4. Female university students in the Spanish Wikipedia (wd:Q112035885): scientific article published on 14 January 2019, instance of scholarly article
5. Why is Wikidata important for Spanish Wikipedia? (wd:Q131357035): workshop of the WikiTools cycle, instance of online event, instance of workshop
6. Wikipedia, also known as Wikipedia, the free encyclopedia, Wikipedia, the free encyclopedia that anyone can edit, Wikipaedia, The Free Encyclopedia (wd:Q52): free multilingual online encyclopedia, instance of online encyclopedia, instance of Wikimedia project, instance of MediaWiki wiki
7. Spanish, also known as esp, Español, spa, Castilian language, Spanish language (wd:Q1321)
8. Spaniards, also known as Spaniard, Spain residents, Spanish, Spanish people, the Spanish (wd:Q160894)
9. Wikipedia, also known as Wikipedia Android app (wd:Q4390943)
10. Peninsular Spanish, also known as Iberian Spanish, Spainish, Spanish of Spain, Spanish Spanish, es_ES (wd:Q7162990)

[Assistant] I'll look up the Spanish Wikipedia item to find how it links to the language it represents, and which class it is an instance of. I'll list triples for wd:Q8449.

[Tool]
Got 535 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                            | object                                                                       |
| ---------------------------- | ----------------------------------- | ---------------------------------------------------------------------------- |
| Spanish Wikipedia (wd:Q8449) | instance of (wdt:P31)               | Wikipedia language edition (wd:Q10876391)                                    |
| Spanish Wikipedia (wd:Q8449) | language of work or name (wdt:P407) | Spanish (wd:Q1321)                                                           |
| Spanish Wikipedia (wd:Q8449) | Commons category (wdt:P373)         | Spanish Wikipedia                                                            |
| Spanish Wikipedia (wd:Q8449) | image (wdt:P18)                     | <http://commons.wikimedia.org/wiki/Special:FilePath/Spanish%20Wikipedia.png> |
| Spanish Wikipedia (wd:Q8449) | copyright status (wdt:P6216)        | copyrighted (wd:Q50423863)                                                   |
| Spanish Wikipedia (wd:Q8449) | inception (wdt:P571)                | 2001-05-11T00:00:00Z (xsd:dateTime)                                          |
| Spanish Wikipedia (wd:Q8449) | copyright license (wdt:P275)        | GNU Free Documentation License (wd:Q22169)                                   |
| Spanish Wikipedia (wd:Q8449) | official name (wdt:P1448)           | Wikipedia en español (es)                                                    |
| Spanish Wikipedia (wd:Q8449) | official website (wdt:P856)         | <https://es.wikipedia.org/>                                                  |
| Spanish Wikipedia (wd:Q8449) | owned by (wdt:P127)                 | Wikimedia Foundation (wd:Q180)                                               |
| ...                          | ...                                 | ...                                                                          |

[Assistant] I'll verify the property for number of speakers (P1098) exists and is used for language items. I'll search the property.

[Tool]
Top 10 property alternatives:
1. number of speakers, writers, or signers, also known as signers of a language, speakers of language, writers of a language (wd:P1098 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of people who use a language
2. number of viewers/listeners, also known as plays, TV ratings, view count, viewer count, viewer number (wd:P5436 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of viewers of a television or broadcasting program; web traffic on websites
3. number of words, also known as word count, words (number of) (wd:P6570 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of words in text
4. official language, also known as language official, language spoken, speaking, spoken in (wd:P37 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): language designated as official by this item, subproperty of language used
5. spoken by, also known as narrator, speaker (wd:P10894 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the person who is speaking in this audio or video file
6. speaker, also known as speech by, spoken by (wd:P823 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): person who is speaker for this event, ceremony, keynote, presentation or in a literary work, subproperty of participant, subproperty of spoken by
7. number of aid beneficiaries, also known as number of aid recipients, number of beneficiaries, number of people reached, people reached (wd:P9077 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of people reached with international aid programmes, acti...ctivities. Qualify with "point in time" (P585) where appropriate
8. intended public, also known as target market, user group, target group, target demographic, target audience (wd:P2360 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): intended audience or user of this work, product, object, or event
9. number of registered users/contributors, also known as number of contributors, number of registered users, number of users, users (wd:P1833 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of registered users on a website
10. member count, also known as membership, total members, number of members, count of members, amount of members (wd:P2124 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of entities that are part of an organization at a particular time

[Assistant] I'll inspect a language item (Spanish wd:Q1321) to see how number of speakers is given.

[Tool]
Got 2,056 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                       | object                                                                                |
| ------------------ | ---------------------------------------------- | -------------------------------------------------------------------------------------------- |
| Spanish (wd:Q1321) | instance of (wdt:P31)                          | modern language (wd:Q1288568)                                                                |
| Spanish (wd:Q1321) | country (wdt:P17)                              | United States (wd:Q30)                                                                       |
| Spanish (wd:Q1321) | Commons category (wdt:P373)                    | Spanish language                                                                             |
| Spanish (wd:Q1321) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/E%C3%B1e%20on%20keyboard%20-%20grey.jpg> |
| Spanish (wd:Q1321) | subclass of (wdt:P279)                         | West Iberian (wd:Q1377152)                                                                   |
| Spanish (wd:Q1321) | short name (wdt:P1813)                         | ispanca (az)                                                                                |
| Spanish (wd:Q1321) | has part(s) (wdt:P527)                         | Colombian Spanish (wd:Q1115875)                                                              |
| Spanish (wd:Q1321) | described by source (wdt:P1343)                | Small Brockhaus and Efron Encyclopedic Dictionary (wd:Q19180675)                             |
| Spanish (wd:Q1321) | on focus list of Wikimedia project (wdt:P5008) | wd:Q5460604                                                                                |
| Spanish (wd:Q1321) | native label (wdt:P1705)                       | castellano (es)                                                                              |
| ...                | ...                                            | ...                                                                                |

[Assistant] I'll search for statements with property P1098 on Spanish to see usage.

[Tool]
Got 1 row and 3 columns:
| subject            | property                                            | object                  |
| ------------------ | --------------------------------------------------- | ----------------------- |
| Spanish (wd:Q1321) | number of speakers, writers, or signers (wdt:P1098) | 485000000 (xsd:decimal) |

[Assistant]
Good. The plan: find all items that are "Wikipedia language edition" (wd:Q10876391) with a language (P407) ?lang. Then for each language, get its number of speakers (P1098). Filter for >3,000,000 and exclude English (wd:Q1860). Return the language items (IRIs). Also ensure "other than English"—exclude English. The query should return identifiers (IRIs) and optionally labels. Must execute final query. I'll prepare the SPARQL SELECT query. I'll include OPTIONAL for label. Also ensure languages have P1098 with value > 3000000. Might need to use xsd:decimal comparison. Use FILTER(?num > 3000000). Also ensure we only consider Wikipedia language editions that exist—select distinct ?language where ?wiki wdt:P31 wd:Q10876391; wdt:P407 ?language. Exclude English. Also some languages might have multiple num statements; wdt:P1098 gives preferred value. Use ?language wdt:P1098 ?num. OK. I'll craft and execute the query. I'll explain before executing.
I'll run a query that finds all Wikipedia language editions (instances of Q10876391), gets their language (P407), then selects languages with number of speakers (P1098) greater than 3,000,000, excluding English (wd:Q1860). I'll request the language IRIs and labels. Now I'll execute the query.

[Tool]
Got 166 rows and 3 columns, showing the first 5 and last 5 rows below:
| language                    | languageLabel        | num                      |
| --------------------------- | -------------------- | ------------------------ |
| Chinese (wd:Q7850)          | Chinese (en)         | 1299877520 (xsd:decimal) |
| Spanish (wd:Q1321)          | Spanish (en)         | 485000000 (xsd:decimal)  |
| Hindi (wd:Q1568)            | Hindi (en)           | 341000000 (xsd:decimal)  |
| Bangla (wd:Q9610)           | Bangla (en)          | 300000000 (xsd:decimal)  |
| Portuguese (wd:Q5146)       | Portuguese (en)      | 254300000 (xsd:decimal)  |
| ...                         | ...                  | ...                      |
| Mazanderani (wd:Q13356)     | Mazanderani (en)     | 3270000 (xsd:decimal)    |
| Jamaican Patois (wd:Q35939) | Jamaican Patois (en) | 3200000 (xsd:decimal)    |
| Dagbani (wd:Q32238)         | Dagbani (en)         | 3160000 (xsd:decimal)    |
| Swedish (wd:Q9027)          | Swedish (en)         | 3118000 (xsd:decimal)    |
| Waray (wd:Q34279)           | Waray (en)           | 3100000 (xsd:decimal)    |

[Assistant] I'll re-run the SELECT query ordered by number of speakers descending to retrieve the full list of languages (IRIs and English labels) that have a Wikipedia language edition and more than 3,000,000 speakers, excluding English.

[Tool]
Got 166 rows and 3 columns, showing the first 5 and last 5 rows below:
| language                    | languageLabel        | num                      |
| --------------------------- | -------------------- | ------------------------ |
| Chinese (wd:Q7850)          | Chinese (en)         | 1299877520 (xsd:decimal) |
| Spanish (wd:Q1321)          | Spanish (en)         | 485000000 (xsd:decimal)  |
| Hindi (wd:Q1568)            | Hindi (en)           | 341000000 (xsd:decimal)  |
| Bangla (wd:Q9610)           | Bangla (en)          | 300000000 (xsd:decimal)  |
| Portuguese (wd:Q5146)       | Portuguese (en)      | 254300000 (xsd:decimal)  |
| ...                         | ...                  | ...                      |
| Mazanderani (wd:Q13356)     | Mazanderani (en)     | 3270000 (xsd:decimal)    |
| Jamaican Patois (wd:Q35939) | Jamaican Patois (en) | 3200000 (xsd:decimal)    |
| Dagbani (wd:Q32238)         | Dagbani (en)         | 3160000 (xsd:decimal)    |
| Swedish (wd:Q9027)          | Swedish (en)         | 3118000 (xsd:decimal)    |
| Waray (wd:Q34279)           | Waray (en)           | 3100000 (xsd:decimal)    |

[Assistant]
The query returned 166 languages. I'll finalize by returning the SPARQL query and summarizing that these are the languages (excluding English) with a Wikipedia edition and more than 3,000,000 speakers. I will provide the SPARQL query as required and the answer noting count or listing? The user asked: "What are the languages, other than English, that have a Wikipedia language edition and more than 3,000,000 speakers?" They likely want the list. Returning all 166 items might be long, but must provide results. I'll include the SPARQL and say the query returns 166 languages and show the top few; but rule 1 requires explaining thought process before and after each step and function call — we already did. For final function, must call answer with kg, sparql, and answer string. The answer string should present the result: either number and note, or list. I'll say: "There are 166 such languages; the SPARQL query returns them (list attached)". But we must not include heavy formatting but can include list. Perhaps briefly state count and show first 20? But requirement 3: Always execute final SPARQL query before giving an answer — done. Also requirement 4: The SPARQL query should return identifiers — done. I'll include the SPARQL query and state "Results: 166 languages (examples: Chinese, Spanish, Hindi, ...). Full list available by running the query." That should suffice.

Now call functions.answer.

[Tool] Stopped generation process


PREFIX geo: <http://www.opengis.net/ont/geosparql#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX geof: <http://www.opengis.net/def/function/geosparql/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item ?itemCoord ?dist ?itemLabel WHERE {
  VALUES ?class {
    wd:Q839954 wd:Q676050 wd:Q1081138 wd:Q358 wd:Q15243209 wd:Q4895508 wd:Q22674925 wd:Q35112127 wd:Q5773747 wd:Q15661340 wd:Q14916932 wd:Q916475 wd:Q12358501
  }
  ?item wdt:P625 ?itemCoord .
  ?item wdt:P31 / wdt:P279 * ?class .
  BIND( geof:distance ( ?itemCoord , "Point(-3.564224203100305 52.241980731490386)" ^^ geo:wktLiteral ) AS ?dist ) FILTER ( ?dist <= 25 ) OPTIONAL {
    ?item rdfs:label ?itemLabel .
    FILTER ( LANG( ?itemLabel ) = "en" )
  }
}
ORDER BY ?dist
LIMIT 100

Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                                    | itemCoord                                   | dist                   | itemLabel                                    |
| ------------------------------------------------------- | ------------------------------------------- | ---------------------- | -------------------------------------------- |
| Crugian Bach stone circle (wd:Q13127638)                | POINT(-3.566555 52.249433) (geo:wktLiteral) | 0.843722 (xsd:decimal) | Crugian Bach stone circle (en)               |
| Crugian Bach Enclosure (wd:Q122221735)                  | POINT(-3.567669 52.249454) (geo:wktLiteral) | 0.863459 (xsd:decimal) | Crugian Bach Enclosure (en)                  |
| Hafotau Settlement on Esgair Gwar-y-Cae (wd:Q122220038) | POINT(-3.585541 52.240817) (geo:wktLiteral) | 1.45717 (xsd:decimal)  | Hafotau Settlement on Esgair Gwar-y-Cae (en) |
| Hafotau Settlement on Bryn Melys (wd:Q122220032)        | POINT(-3.565854 52.228259) (geo:wktLiteral) | 1.52981 (xsd:decimal)  | Hafotau Settlement on Bryn Melys (en)        |
| Craig Cnwch Stones (wd:Q125486321)                      | POINT(-3.569492 52.257513) (geo:wktLiteral) | 1.76395 (xsd:decimal)  | Craig Cnwch Stones (en)                      |
| ...                                                     | ...                                         | ...                    | ...                                          |
| Carneddau Hill, Stone Setting II (wd:Q125486709)        | POINT(-3.367055 52.177071) (geo:wktLiteral) | 15.2507 (xsd:decimal)  | Carneddau Hill, Stone Setting II (en)        |
| Carneddau Hill, Stone Setting I (wd:Q125485481)         | POINT(-3.366962 52.176883) (geo:wktLiteral) | 15.2662 (xsd:decimal)  | Carneddau Hill, Stone Setting I (en)         |
| Castle Bank Mound (wd:Q125488914)                       | POINT(-3.339674 52.245060) (geo:wktLiteral) | 15.2924 (xsd:decimal)  | Castle Bank Mound (en)                       |
| Pant y Rhiw Medieval Settlement (wd:Q122220496)         | POINT(-3.346649 52.206931) (geo:wktLiteral) | 15.324 (xsd:decimal)   | Pant y Rhiw Medieval Settlement (en)         |
| Pen Rhiw Frank, Stone Setting (wd:Q125486768)           | POINT(-3.338642 52.229248) (geo:wktLiteral) | 15.4267 (xsd:decimal)  | Pen Rhiw Frank, Stone Setting (en)           |

I ran a SPARQL query against Wikidata to find cultural heritage items (archaeological sites, old towns/historical city centres, historic sites/monuments, heritage sites/properties, historic districts, battlefields, former settlements, historic buildings/houses, ancient cities) within 25 km of the coordinates (52.241980731490386, -3.564224203100305). The query returns item IRIs, coordinates, distances (in kilometers), and English labels when available. The results (ordered by ascending distance, limited to 100) include items such as:

- wd:Q13127638 — Crugian Bach stone circle — POINT(-3.566555 52.249433) — distance 0.843722 km
- wd:Q122221735 — Crugian Bach Enclosure — POINT(-3.567669 52.249454) — distance 0.863459 km
- wd:Q122220038 — Hafotau Settlement on Esgair Gwar-y-Cae — POINT(-3.585541 52.240817) — distance 1.45717 km
- wd:Q122220032 — Hafotau Settlement on Bryn Melys — POINT(-3.565854 52.228259) — distance 1.52981 km
- wd:Q125486321 — Craig Cnwch Stones — POINT(-3.569492 52.257513) — distance 1.76395 km

... (results continue up to 100 items, examples near 15 km: wd:Q125486709 Carneddau Hill, Stone Setting II — 15.2507 km; wd:Q125485481 Carneddau Hill, Stone Setting I — 15.2662 km; wd:Q125488914 Castle Bank Mound — 15.2924 km; wd:Q122220496 Pant y Rhiw Medieval Settlement — 15.324 km; wd:Q125486768 Pen Rhiw Frank, Stone Setting — 15.4267 km).

The full SPARQL query is provided above. If you want, I can return the complete result table (all up to 100 rows) in CSV or JSON, or refine the classes used to better match a specific subset of heritage types.

What are the nearest cultural heritage sites within a 25 km radius of the coordinates (52.241980731490386, -3.564224203100305)? Include archaeological sites, historical monuments, historical city centres, historic sites, heritage sites, historic districts, battlefields, former settlements, historic buildings, historic houses, ancient cities, and heritage properties. Provide their item IDs, geocoordinates, and distances, and order outputs by ascending distance, limited to 100 results.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the nearest cultural heritage sites within a 25 km radius of the coordinates (52.241980731490386, -3.564224203100305)? Include archaeological sites, historical monuments, historical city centres, historic sites, heritage sites, historic districts, battlefields, former settlements, historic buildings, historic houses, ancient cities, and heritage properties. Provide their item IDs, geocoordinates, and distances, and order outputs by ascending distance, limited to 100 results.

[Assistant] I will identify the Wikidata items corresponding to the types you listed (archaeological site, historical monument, historical city centre, historic site, heritage site, historic district, battlefield, former settlement, historic building, historic house, ancient city, heritage property). I'll search Wikidata for each type to find the correct item identifiers, then build a SPARQL query that finds items whose coordinates are within 25 km of the given point and whose instance (P31) or subclass (P279) matches one of those types. I'll explain each search and show results I use to construct the final query. I'll start by searching for likely Wikidata items for each category.

[Tool]
Top 10 entity alternatives:
1. archaeological site, also known as ancient site, dig site, archeological site (wd:Q839954)
2. Archaeological site (wd:Q10926801)
3. Archaeological Site (wd:Q97142855): archaeological site in Nagpur district, India, instance of archaeological site
4. archaeological site, also known as declared archaeological site (wd:Q29048715)
5. archaeological site (wd:L454979-S1)
6. Hegra, also known as Nabataean ruins of Hegra, Mada'in Salih, el Hijr, Al-Hijr Archaeological Site, Al-Hijr (wd:Q27356): Ancient settlement in Saudi Arabia, instance of archaeological site
7. Sarazm, also known as Sarazm Archaeological Site (wd:Q422929): instance of archaeological site, archaeological site
8. Sesklo archaeological site (wd:Q38281192): Neolithic site in Magnisia, Greece, instance of archaeological site
9. Cahuachi, also known as Cahuachi archaeological site (wd:Q1025802): instance of archaeological site, archaeological site
10. Malia, also known as Malia archaeological site (wd:Q1887316): historical site on Crete, Greece, instance of archaeological site

[Assistant] Now I'll search for "historical monument".

[Tool]
Top 10 entity alternatives:
1. Historical Monument, also known as MH (wd:Q916475)
2. Historical Monument (wd:Q49501908): historical monument in San Saba County, Texas, United states, instance of monument
3. Historical Monument (wd:Q49501910): historical monument in Spokane County, Washington, United States, instance of monument
4. Historical Monument (wd:Q31816708): historical monument in Armstrong County, Texas, United States, instance of monument
5. Historical Monument (wd:Q49501900): historical monument in Cameron County, Texas, United States, instance of monument
6. Historical Monument (wd:Q49501902): park in Cameron County, Texas, United States of America, instance of monument
7. historical monument (wd:Q12358501)
8. Historical Monument, also known as Monumento Histórico (wd:Q95665850)
9. historic landmark, also known as historical landmark, historic landmarks, historical monument, historical landmarks (wd:Q84015776)
10. classified historical monument, also known as MH classé, MH (wd:Q10387684)

[Assistant] Search for "historical city centre", "historic site", "heritage site", "historic district", "battlefield", "former settlement", "historic building", "historic house", "ancient city", "heritage property". I'll search for each.

[Tool]
Top 10 entity alternatives:
1. old town, also known as historic centre, historic center, historical city centre (wd:Q676050)
2. Historical city centre (wd:Q64006627): Gradara historical city centre, instance of old town
3. historical city centre of Odesa, also known as center of Odesa, Old Odesa, centre of Odesa (wd:Q15041608): World Heritage site in Ukraine, instance of old town
4. Kunisaki City Historical Learning Centre, also known as Kunisaki City Historical Learning Centre, Yayoi Village (wd:Q104784122): museum in Kunisaki, Ōita, Japan, instance of history museum
5. Historical centre of San Luis Potosí City (wd:Q24199776): city center of San Luis Potosi, Mexico, instance of old town
6. city center, also known as city centre, urban core, downtown area, city core, central city (wd:Q1468524)
7. Manchester city centre, also known as City Centre (wd:Q2166304): central business district of the City of Manchester, England, instance of central business district
8. City, also known as Canberra, Civic Centre, Civic, Australian Capital Territory, Civic, City Centre (wd:Q4421073): instance of central business district, city centre of Canberra, Australia, instance of suburb
9. City Centre, also known as Downtown, Inner City, Belváros (wd:Q792565): historic city centre of Miskolc, Hungary, instance of neighborhood
10. City Centre (wd:Q4504328): instance of ward of Turku, ward of Turku, Finland

[Tool]
Top 10 entity alternatives:
1. historic site, also known as historic monument, historic place, historic heritage, historical heritage (wd:Q1081138)
2. Historic Site of Japan, also known as National Historic Site of Japan, Historic Site (wd:Q30834580)
3. ⛬, also known as HISTORIC SITE, U+26EC (wd:Q87527164): instance of Unicode character, Unicode character
4. historic site, also known as Guji (wd:Q63183471)
5. Historic site, also known as Historic site, Baroda, Historic Site Survey No. 431 to 435, Akota site, Vadodara (wd:Q63347799): archaeological site in Gujarat, India, instance of archaeological site
6. Khara-Khoto, also known as Heicheng relic site, Heicheng Historic Site, Black City (wd:Q1584528): ruins of a medieval city in western Inner Mongolia, instance of archaeological site, instance of fiscal district, instance of ruins
7. Dmanisi historic site (wd:Q20573231): historic site in Kvemo Kartli, Georgia, instance of archaeological site, instance of ancient monument, instance of historic site
8. National Historic Site, also known as NHS, National Historic Site (United States), National Historic Sites, National Historic Site of the United States (wd:Q1258086)
9. Cheremi historic site (wd:Q12871270): historic site in Kakheti, Georgia
10. Olana State Historic Site, also known as Frederic E. Church House, Olana Historic Site, Olana, Frederic Edwin Church House (wd:Q2018138): historic house museum and estate; former home of Frederic Edwin Church, instance of state historic site in the United States, instance of historic house museum, instance of mansion, instance of estate

[Tool]
Top 10 entity alternatives:
1. heritage site, also known as historic monument, immovable heritage, protected monument, heritage property, heritage place (wd:Q358)
2. immovable monument in Poland, also known as heritage site, historic landmark (wd:Q29940414)
3. heritage site (wd:L421513-S1)
4. World Heritage Site, also known as World Heritage List Site, WHS, World heritage site, Patrimonio de la Humanidad, United Nations Educational, Scie...ion (UNESCO) World Heritage Site (wd:Q9259)
5. Rijksmonument, also known as national heritage site (wd:Q916333)
6. Old Montreal, also known as Montreal Heritage Site, Vieux-Montreal, site patrimonial de Montreal, site patrimonial de Montréal, Vieux-Montréal (wd:Q1529351): historic city centre in Montreal, Quebec, Canada, instance of sociological neighborhood, instance of old town, instance of quarter
7. industrial heritage site (wd:Q1569871)
8. Bhangarh, also known as ancient site of Bhangarh, Bhangarh heritage site (wd:Q861921): historical village and archaeological site (fort complex) in Rajasthan, India, instance of archaeological site, instance of former settlement, instance of village in India
9. Jelling Heritage Site, also known as Jelling monuments (wd:Q4993586): Jelling Mounds, Runic Stones and Church, instance of archaeological site
10. national heritage site (wd:Q45580643)

[Tool]
Top 10 entity alternatives:
1. historic district, also known as heritage area, historic districts, historic center, heritage zone, heritage district (wd:Q15243209)
2. historic district in the United States, also known as historic district, U.S. Historic district (wd:Q1620797)
3. Heritage Zone, also known as Historic Zone, Historic District, Historic Center, Heritage District (wd:Q40720162)
4. NRHP district, also known as National Register of Historic Places district, National Register Historic District, historic district, district listed on the National Register of Historic Places, district (wd:Q20856087)
5. Bodie, also known as Bodie, CA, Bodie, California, Bodie Historic District (wd:Q832945): ghost town in California, United States, instance of ghost town
6. Georgetown, also known as Georgetown Historic District, West Washington, Town of George, Georgetown, Washington, D.C., George-Town (wd:Q1468648): neighborhood and historic district in Washington, D.C., United States, instance of neighborhood of Washington, D.C.
7. Virginville Historic District, also known as Virginville, Pennsylvania, Virginville (wd:Q7934772): human settlement in Richmond Township, Pennsylvania, United States of America, instance of unincorporated community in the United States, instance of census-designated place in the United States, instance of historic district
8. Colonial Williamsburg, also known as Williamsburg Historic District (wd:Q841700): living history museum in WIlliamsburg, Virginia, instance of historic district, instance of open-air museum
9. Waterford, also known as Waterford, Virginia, Waterford, VA, Waterford Historic District (wd:Q2552551): instance of unincorporated community in the United States, instance of census-designated place in the United States, unincorporated village in Loudoun County, Virginia, instance of village
10. Glenrio, also known as Glenrio, United States, Glenrio, TX, Glenrio, Texas, Glenrio, New Mexico and Texas, Glenrio, New Mexico (wd:Q1531151): ghost town in Quay County, New Mexico and Deaf County, Texas in the United States, instance of historic district, instance of ghost town

[Tool]
Top 10 entity alternatives:
1. Battlefield, also known as BF (wd:Q474587): first-person shooter video game series by DICE, instance of video game series
2. Battlefield, also known as Battlefield, Missouri, Battlefield, MO (wd:Q966858): city in Greene County, Missouri, United States, instance of city in the United States
3. battlefield, also known as field of battle, historic battlefield, historic battleground, war zone, warzone (wd:Q4895508)
4. Battlefield (wd:Q538232): second studio album by American R&B and pop singer Jordin Sparks, instance of album
5. Battlefield, also known as Campo di battaglia (wd:Q127728283): 2024 film directed by Gianni Amelio, instance of film
6. Battlefield (wd:Q2656739): instance of single, song
7. Battlefield (wd:Q4873098): instance of Doctor Who serial, Doctor Who serial
8. Battlefield (wd:Q3811332): village 3 miles (5 km) north of Shrewsbury town centre in Shropshire, England, instance of village
9. Battlefield (wd:Q4873096): district in Glasgow, Scotland, UK, instance of quarter
10. Battlefield, also known as Battlefield, MS (wd:Q107427470): instance of unincorporated community in the United States, unincorporated community in Mississippi, United States

[Tool]
Top 10 entity alternatives:
1. former settlement, also known as ancient town, former human settlement, ancient settlement, former populated place, historical populated place (wd:Q22674925)
2. Kyukoryuchi, also known as Former Foreign Settlement (wd:Q11086968): Neighborhood in Chuo ward, Kobe, Japan, instance of neighborhood
3. Sturup, former settlement (wd:Q133699146): village of farmers situated in the Börringe parish of Svedala Mu...ormed to be Malmö Airport in 1972 insted of Bulltofta flygplats., instance of minor locality in Sweden, instance of former settlement
4. Taroom Aboriginal Settlement, also known as Taroom Aboriginal Mission, Taroom Aboriginal Reserve, Taroom Aboriginal Settlement (former) (wd:Q26793363): Aboriginal reserve at Bundulla, Taroom, Shire of Banana, Queensland, Australia, instance of Indigenous Protected Area
5. Alpine, also known as Alpine, California, Alpine (former settlement), California (wd:Q4735470): former settlement in Los Angeles County, California, United States, instance of former settlement
6. Former German settlement in Ivanivka (wd:Q122298134): instance of cultural property
7. Kinloch Saw Mill Settlement (Former) (wd:Q79302175): mill in Kinloch, New Zealand
8. Israeli occupation of the Sinai Peninsula, also known as Former Israeli settlements in Sinai, Israeli settlements in Sinai (wd:Q12022157): اشغال نظامی شبه‌جزیره سینا در مصر، ۱۹۶۷-۱۹۸۲, instance of former entity
9. Former Foreign Settlement Building No. 15 (wd:Q11511038): instance of historic building, instance of chancery
10. Former settlement in Gdynia Mały Kack (wd:Q30621401): instance of building complex

[Tool]
Top 10 entity alternatives:
1. historic building, also known as historical buildings, historic property, historic buildings, historical property, heritage building (wd:Q35112127)
2. Historical House of Tucumán, also known as Tucuman Historic Building, Tucuman Historic House, Historic House of Tucuman, Casa Historica de Tucuman (wd:Q5364487): colonial house located in the center of the Argentine city of San Miguel de Tucumán., instance of architectural structure, instance of cultural institution, instance of tourist attraction, instance of historic house, instance of building, instance of museum
3. historic preservation, also known as building preservation, historic building preservation, heritage preservation (wd:Q3417102)
4. historic building material, also known as historical building material (wd:Q1620838)
5. Historic Campbell Building (wd:Q65051586): building in United States of America, instance of building
6. Historic YWCA building (wd:Q28124614): building in Indiana, United States, instance of building
7. Historical building, also known as Turan street, 73 (wd:Q122676035): historical building in Kokand, Uzbekistan, instance of building
8. Historic Adobe Building, also known as Mountain View Adobe (wd:Q5773364): building in Santa Clara, California, instance of building
9. Pratt Historic Building (wd:Q7238759): Cohasset, Massachusetts, listed on the NRHP in Norfolk County, instance of museum
10. Historical Building, also known as Curry Hall (wd:Q108073274): university building at University of North Texas, 1105 W Mulberry St, Denton, TX 76201, instance of university building

[Tool]
Top 10 entity alternatives:
1. historic house, also known as historic dwelling, historic home, historical house, historical home, historical dwelling (wd:Q5773747)
2. historic house museum, also known as historic home museum, museum house, museum home, house museum, home museum (wd:Q2087181)
3. Historical House of Tucumán, also known as Tucuman Historic Building, Tucuman Historic House, Historic House of Tucuman, Casa Historica de Tucuman (wd:Q5364487): colonial house located in the center of the Argentine city of San Miguel de Tucumán., instance of architectural structure, instance of cultural institution, instance of tourist attraction, instance of historic house, instance of building, instance of museum
4. Historic Houses Association, also known as HHA, Historic Houses (wd:Q5773523): association supporting independent historic houses in the UK, instance of association
5. Lefferts Historic House, also known as Lefferts Historic House Museum (wd:Q6516654): historic house museum in Brooklyn, New York City, United States, instance of historic house museum
6. Whitehall, also known as Whitehall, Cheam, Whitehall Historic House (wd:Q7995973): house museum in Cheam, Greater London, England, UK, instance of local authority museum, instance of historic house museum, instance of independent museum
7. Tajiri Historic House (wd:Q11576543): instance of museum
8. Historic House Trust (wd:Q5773518): instance of public–private partnership
9. Fields Place-Vickery House, also known as Vickery House, Historic Vickery House, Georgia Appalachian Studies Center (wd:Q24060779): historic building located in Dahlonega, Georgia, instance of historic house, instance of heritage site
10. Park-McCullough Historic House (wd:Q7137590): house in North Bennington, Vermont, instance of house

[Tool]
Top 10 entity alternatives:
1. ancient city, also known as ancient town, historical city, extinct city (wd:Q15661340)
2. celtiberian town, also known as extinct city, celtiberian oppidum, historical city, celtiberian city, ancient town (wd:Q116798230)
3. Ancient City (wd:Q19921076): painting by Paul Delvaux, instance of painting
4. Pingyao, also known as Pingyao Ancient City, Gutao Zhen, Pingyao Hsien, Pingyao Xian, 平遙 (wd:Q500061): town in central Shanxi, China, preserving Ming and Qing era architecture, instance of Chinese AAAAA-rated tourist attractions, instance of town of China
5. Dardanos (ancient city) (wd:Q950952): instance of archaeological site, city in Greek mythology, instance of polis
6. Eleutherna (ancient city), also known as Apollonia (wd:Q1328347): instance of archaeological site, archaeological site of Crete, instance of ancient city, instance of polis
7. Shabran (ancient city) (wd:Q2643467): former city in Azerbaijan (medieval and early modern period), instance of human settlement
8. Guangfu, also known as Guangfu Ancient City (wd:Q11062249): instance of Chinese AAAAA-rated tourist attractions, instance of town of China, Town in China
9. Amos, also known as Amos (ancient city) (wd:Q117386): instance of archaeological site, instance of ancient city, instance of polis, human settlement
10. Roman city, also known as ancient Roman city, Roman town (wd:Q2202509)

[Tool]
Top 10 entity alternatives:
1. heritage site, also known as historic monument, immovable heritage, protected monument, heritage property, heritage place (wd:Q358)
2. heritage property (wd:Q14916932)
3. Heritage Property Act (wd:Q5739015): instance of act of the General Assembly of Nova Scotia, Canadian provincial statute
4. Heritage Property Act (wd:Q17146748): instance of statute
5. municipal heritage property (wd:Q14842506)
6. designated heritage property (wd:Q23067926)
7. provincial heritage property (wd:Q14853770)
8. listed heritage property (wd:Q106613373)
9. historical cultural heritage site, also known as historical cultural heritage property (wd:Q38048707)
10. heritage property of Saskatchewan (wd:Q14853555)

[Assistant]
I'll run a SPARQL query that:
- finds items with coordinate location (wdt:P625),
- whose instance-of / subclass-of chain includes any of the classes corresponding to the requested types (I compiled candidate class items: archaeological site, old town, historic site, heritage site, historic district, battlefield, former settlement, historic building, historic house, ancient city, heritage property, and historical monument),
- computes the distance from the given point (Point(longitude latitude) = Point(-3.564224203100305 52.241980731490386)) using geof:distance,
- filters to distances <= 25000 (25 km), orders ascending by distance and limits to 100.

I'll execute the query to verify results.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant] I'll try a smaller query first: only archaeological sites within 25 km, to see if the endpoint responds. I'll run a query for items with P625 and instance-of or subclass-of archaeological site (wd:Q839954) and compute distance.

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| item                                                                    | itemCoord                                   | dist                   |
| ----------------------------------------------------------------------- | ------------------------------------------- | ---------------------- |
| Crugian Bach stone circle (wd:Q13127638)                                | POINT(-3.566555 52.249433) (geo:wktLiteral) | 0.843722 (xsd:decimal) |
| Crugian Bach Enclosure (wd:Q122221735)                                  | POINT(-3.567669 52.249454) (geo:wktLiteral) | 0.863459 (xsd:decimal) |
| Hafotau Settlement on Esgair Gwar-y-Cae (wd:Q122220038)                 | POINT(-3.585541 52.240817) (geo:wktLiteral) | 1.45717 (xsd:decimal)  |
| Hafotau Settlement on Bryn Melys (wd:Q122220032)                        | POINT(-3.565854 52.228259) (geo:wktLiteral) | 1.52981 (xsd:decimal)  |
| Craig Cnwch Stones (wd:Q125486321)                                      | POINT(-3.569492 52.257513) (geo:wktLiteral) | 1.76395 (xsd:decimal)  |
| ...                                                                     | ...                                         | ...                    |
| Fowler's Arm Chair Stone Circle & Round Cairns, Banc Du (wd:Q122218208) | POINT(-3.410177 52.402101) (geo:wktLiteral) | 20.6548 (xsd:decimal)  |
| Carnedd gron Pen y Garn (wd:Q13126795)                                  | POINT(-3.770000 52.380000) (geo:wktLiteral) | 20.766 (xsd:decimal)   |
| Dwy garnedd gron Gwar-castell (wd:Q13127998)                            | POINT(-3.868911 52.226985) (geo:wktLiteral) | 20.8158 (xsd:decimal)  |
| Dwy garnedd gron Gwar-castell (wd:Q13127998)                            | POINT(-3.870000 52.229999) (geo:wktLiteral) | 20.865 (xsd:decimal)   |
| Carnedd gron Crug, Llanddewi Brefi (wd:Q13126735)                       | POINT(-3.840000 52.160000) (geo:wktLiteral) | 20.8884 (xsd:decimal)  |

[Assistant] I'll run a SPARQL query that looks for items within 25 kilometers of the given coordinates, whose instance-of or subclass-of chain matches any of the classes representing the requested cultural heritage types. I'll return the item IRIs, coordinates, distances, and optional English labels, ordered by ascending distance and limited to 100. I'll now execute the query.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                                    | itemCoord                                   | dist                   | itemLabel                                    |
| ------------------------------------------------------- | ------------------------------------------- | ---------------------- | -------------------------------------------- |
| Crugian Bach stone circle (wd:Q13127638)                | POINT(-3.566555 52.249433) (geo:wktLiteral) | 0.843722 (xsd:decimal) | Crugian Bach stone circle (en)               |
| Crugian Bach stone circle (wd:Q13127638)                | POINT(-3.566555 52.249433) (geo:wktLiteral) | 0.843722 (xsd:decimal) | Crugian Bach stone circle (en)               |
| Crugian Bach stone circle (wd:Q13127638)                | POINT(-3.566555 52.249433) (geo:wktLiteral) | 0.843722 (xsd:decimal) | Crugian Bach stone circle (en)               |
| Crugian Bach Enclosure (wd:Q122221735)                  | POINT(-3.567669 52.249454) (geo:wktLiteral) | 0.863459 (xsd:decimal) | Crugian Bach Enclosure (en)                  |
| Hafotau Settlement on Esgair Gwar-y-Cae (wd:Q122220038) | POINT(-3.585541 52.240817) (geo:wktLiteral) | 1.45717 (xsd:decimal)  | Hafotau Settlement on Esgair Gwar-y-Cae (en) |
| ...                                                     | ...                                         | ...                    | ...                                          |
| Caer Du (wd:Q107032308)                                 | POINT(-3.386492 52.221718) (geo:wktLiteral) | 12.3121 (xsd:decimal)  | Caer Du (en)                                 |
| Milestone S of Cilmery Farm (wd:Q29501485)              | POINT(-3.472007 52.146595) (geo:wktLiteral) | 12.329 (xsd:decimal)   | Milestone S of Cilmery Farm (en)             |
| Milestone S of Cilmery Farm (wd:Q29501485)              | POINT(-3.472007 52.146595) (geo:wktLiteral) | 12.329 (xsd:decimal)   | Milestone S of Cilmery Farm (en)             |
| Castell Collen (wd:Q13126891)                           | POINT(-3.384314 52.255712) (geo:wktLiteral) | 12.3426 (xsd:decimal)  | Castell Collen (en)                          |
| Castell Collen (wd:Q13126891)                           | POINT(-3.384314 52.255712) (geo:wktLiteral) | 12.3426 (xsd:decimal)  | Castell Collen (en)                          |

[Assistant] I'll run a final SPARQL query that uses DISTINCT to avoid duplicate rows, returns item IRIs, coordinates, distance (km), and optional English labels, filters by distance <=25 km and orders ascending by distance. Then I'll use the returned results as the answer. I'll execute the query now.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                                    | itemCoord                                   | dist                   | itemLabel                                    |
| ------------------------------------------------------- | ------------------------------------------- | ---------------------- | -------------------------------------------- |
| Crugian Bach stone circle (wd:Q13127638)                | POINT(-3.566555 52.249433) (geo:wktLiteral) | 0.843722 (xsd:decimal) | Crugian Bach stone circle (en)               |
| Crugian Bach Enclosure (wd:Q122221735)                  | POINT(-3.567669 52.249454) (geo:wktLiteral) | 0.863459 (xsd:decimal) | Crugian Bach Enclosure (en)                  |
| Hafotau Settlement on Esgair Gwar-y-Cae (wd:Q122220038) | POINT(-3.585541 52.240817) (geo:wktLiteral) | 1.45717 (xsd:decimal)  | Hafotau Settlement on Esgair Gwar-y-Cae (en) |
| Hafotau Settlement on Bryn Melys (wd:Q122220032)        | POINT(-3.565854 52.228259) (geo:wktLiteral) | 1.52981 (xsd:decimal)  | Hafotau Settlement on Bryn Melys (en)        |
| Craig Cnwch Stones (wd:Q125486321)                      | POINT(-3.569492 52.257513) (geo:wktLiteral) | 1.76395 (xsd:decimal)  | Craig Cnwch Stones (en)                      |
| ...                                                     | ...                                         | ...                    | ...                                          |
| Carneddau Hill, Stone Setting II (wd:Q125486709)        | POINT(-3.367055 52.177071) (geo:wktLiteral) | 15.2507 (xsd:decimal)  | Carneddau Hill, Stone Setting II (en)        |
| Carneddau Hill, Stone Setting I (wd:Q125485481)         | POINT(-3.366962 52.176883) (geo:wktLiteral) | 15.2662 (xsd:decimal)  | Carneddau Hill, Stone Setting I (en)         |
| Castle Bank Mound (wd:Q125488914)                       | POINT(-3.339674 52.245060) (geo:wktLiteral) | 15.2924 (xsd:decimal)  | Castle Bank Mound (en)                       |
| Pant y Rhiw Medieval Settlement (wd:Q122220496)         | POINT(-3.346649 52.206931) (geo:wktLiteral) | 15.324 (xsd:decimal)   | Pant y Rhiw Medieval Settlement (en)         |
| Pen Rhiw Frank, Stone Setting (wd:Q125486768)           | POINT(-3.338642 52.229248) (geo:wktLiteral) | 15.4267 (xsd:decimal)  | Pen Rhiw Frank, Stone Setting (en)           |

[Assistant] I will now provide the final SPARQL query and the answer based on the query results.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?province ?provinceLabel ?country ?countryLabel WHERE {
  ?province wdt:P31 wd:Q34876 ; wdt:P17 ?country .
  OPTIONAL {
    ?province rdfs:label ?provinceLabel FILTER ( LANG( ?provinceLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
ORDER BY ?countryLabel ?provinceLabel

Got 200 rows and 4 columns, showing the first 5 and last 5 rows below:
| province                         | provinceLabel          | country                        | countryLabel           |
| -------------------------------- | ---------------------- | ------------------------------ | ---------------------- |
| Jibal (wd:Q304840)               | Jibal (en)             | Abbasid Caliphate (wd:Q12536)  | Abbasid Caliphate (en) |
| Sind (wd:Q6608704)               | Sind (en)              | Abbasid Caliphate (wd:Q12536)  | Abbasid Caliphate (en) |
| wd:Q20107909                     |                        | Achaemenid Empire (wd:Q389688) | Achaemenid Empire (en) |
| Yehud Medinata (wd:Q592272)      | Yehud Medinata (en)    | Achaemenid Empire (wd:Q389688) | Achaemenid Empire (en) |
| Dukagjin (wd:Q73412)             | Dukagjin (en)          | Albania (wd:Q222)              | Albania (en)           |
| ...                              | ...                    | ...                            | ...                    |
| Nam Hà (wd:Q10797051)            | Nam Hà (en)            | Vietnam (wd:Q881)              | Vietnam (en)           |
| Nam Hà (wd:Q107580020)           | Nam Hà (en)            | Vietnam (wd:Q881)              | Vietnam (en)           |
| Arabian Peninsula (wd:Q31945)    | Arabian Peninsula (en) | Yemen (wd:Q805)                | Yemen (en)             |
| Hadhramaut Region (wd:Q16125588) | Hadhramaut Region (en) | Yemen (wd:Q805)                | Yemen (en)             |
| Jiangzhe Province (wd:Q11134689) | Jiangzhe Province (en) | Yuan dynasty (wd:Q7313)        | Yuan dynasty (en)      |

The query above returns all items that are instance of "province" (wd:Q34876) and have a "country" (wdt:P17). It returns the province and country IRIs and optional English labels.

I executed this query and it returned 200 rows. Sample results (first rows from the query result):
- Jibal (wd:Q304840) — Abbasid Caliphate (wd:Q12536)
- Sind (wd:Q6608704) — Abbasid Caliphate (wd:Q12536)
- wd:Q20107909 (no English label) — Achaemenid Empire (wd:Q389688)
- Yehud Medinata (wd:Q592272) — Achaemenid Empire (wd:Q389688)
- Dukagjin (wd:Q73412) — Albania (wd:Q222)

You can run the provided SPARQL query directly on the Wikidata endpoint to obtain the full list of provinces and their corresponding countries (including IRIs).

What are the provinces and their corresponding countries?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the provinces and their corresponding countries?

[Assistant] Step 1: I'll search for the Wikidata item for "province" to identify the class/item I should look for (e.g., items that are instance of "province" or subclass of it). I'll search for the term "province".

[Tool]
Top 10 entity alternatives:
1. province, also known as provinces (wd:Q34876)
2. oblast, also known as voblast, voblasts, province, oblyst (wd:Q171308)
3. eyalet, also known as Pashalik, province, Pashaluk, Pashalic (wd:Q44565)
4. historical province of France, also known as province of France, Provinces of France, Province (wd:Q209495)
5. vilayet, also known as vilayet of the Ottoman Empire, province (wd:Q1462047)
6. circuit, also known as dao, province (wd:Q718570)
7. The Province, also known as Province (wd:Q132110): newspaper published in Vancouver, British Columbia, Canada, instance of periodical, instance of newspaper
8. zhou, also known as inspectorate, prefecture, province, tcheou, chew (wd:Q1070912)
9. ashkharh, also known as province (wd:Q4073603)
10. The Province, also known as Province (wd:Q2366955): 1991 film by Jan Bosdriesz, instance of film

[Assistant] Step 2: I'll verify the relevant properties: check the property for "country" (likely P17) and "instance of" (P31). I'll search for the property "country".

[Tool]
Top 10 property alternatives:
1. valid in place, also known as country, valid in territory, valid in location, true in, applies to place (wd:P3005 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): place where a statement is valid, subproperty of applies to part
2. country of origin, also known as comes from, place of origin, origin country, originates from, country (wd:P495 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): country of origin of this item (creative work, food, phrase, product, etc.), subproperty of significant place, subproperty of country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the object is a country that recognizes the subject as its citizen, subproperty of country
4. country, also known as state, sovereign state, land, host country (wd:P17 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity
5. applies to jurisdiction, also known as country of jurisdiction, of, jurisdiction linked, jurisdiction, belongs to jurisdiction (wd:P1001 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), subproperty of characteristic of, subproperty of significant place, subproperty of operating area
6. place of publication, also known as country (published in), where published, release region, released in, published in (place) (wd:P291 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): geographical place of publication of the edition (use 1st edition when referring to works), subproperty of significant place
7. operating area, also known as operating region, serves geographic region, serves geographic area, serves area, region served (wd:P2541 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, subproperty of location
8. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): most specific known birth location of a person, animal or fictional character, subproperty of location
9. continent (wd:P30 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): subproperty of located in/on physical feature, continent of which the subject is a part
10. located in the administrative territorial entity, also known as is in the shire of, is in the voivodeship of, is in the state of, is in the territory of, is in the town of (wd:P131 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., subproperty of location, subproperty of part of

[Assistant] Next I'll run a test query to find items that are instances of "province" (wd:Q34876) and have a direct country (wdt:P17). This verifies whether many provinces use P17. I'll request a small sample (LIMIT 20).

[Tool]
Got 20 rows and 4 columns, showing the first 5 and last 5 rows below:
| province                           | provinceLabel             | country                    | countryLabel        |
| ---------------------------------- | ------------------------- | -------------------------- | ------------------- |
| Pashalik of Timbuktu (wd:Q3360048) | Pashalik of Timbuktu (en) | Morocco (wd:Q1028)         | Morocco (en)        |
| wd:Q11919511                       |                           | Morocco (wd:Q1028)         | Morocco (en)        |
| Dendi Kingdom (wd:Q761103)         | Dendi Kingdom (en)        | Niger (wd:Q1032)           | Niger (en)          |
| Dendi Kingdom (wd:Q761103)         | Dendi Kingdom (en)        | Nigeria (wd:Q1033)         | Nigeria (en)        |
| wd:Q3072765                        |                           | Senegal (wd:Q1041)         | Senegal (en)        |
| ...                                | ...                       | ...                        | ...                 |
| Persian Iraq (wd:Q17043605)        | Persian Iraq (en)         | Mongol Empire (wd:Q12557)  | Mongol Empire (en)  |
| Albanian Pashaliks (wd:Q2516917)   | Albanian Pashaliks (en)   | Ottoman Empire (wd:Q12560) | Ottoman Empire (en) |
| Sanjak of Genç (wd:Q16376378)      | Sanjak of Genç (en)       | Ottoman Empire (wd:Q12560) | Ottoman Empire (en) |
| Dersim Sanjak (wd:Q2526330)        | Dersim Sanjak (en)        | Ottoman Empire (wd:Q12560) | Ottoman Empire (en) |
| wd:Q16765968                       |                           | Ottoman Empire (wd:Q12560) | Ottoman Empire (en) |

[Assistant] Now I will execute a final SPARQL query that returns all items that are instance of "province" (wd:Q34876) together with their country (wdt:P17). I include English labels as optional. I will order results by country label then province label.

[Tool]
Got 200 rows and 4 columns, showing the first 5 and last 5 rows below:
| province                         | provinceLabel          | country                        | countryLabel           |
| -------------------------------- | ---------------------- | ------------------------------ | ---------------------- |
| Jibal (wd:Q304840)               | Jibal (en)             | Abbasid Caliphate (wd:Q12536)  | Abbasid Caliphate (en) |
| Sind (wd:Q6608704)               | Sind (en)              | Abbasid Caliphate (wd:Q12536)  | Abbasid Caliphate (en) |
| wd:Q20107909                     |                        | Achaemenid Empire (wd:Q389688) | Achaemenid Empire (en) |
| Yehud Medinata (wd:Q592272)      | Yehud Medinata (en)    | Achaemenid Empire (wd:Q389688) | Achaemenid Empire (en) |
| Dukagjin (wd:Q73412)             | Dukagjin (en)          | Albania (wd:Q222)              | Albania (en)           |
| ...                              | ...                    | ...                            | ...                    |
| Nam Hà (wd:Q10797051)            | Nam Hà (en)            | Vietnam (wd:Q881)              | Vietnam (en)           |
| Nam Hà (wd:Q107580020)           | Nam Hà (en)            | Vietnam (wd:Q881)              | Vietnam (en)           |
| Arabian Peninsula (wd:Q31945)    | Arabian Peninsula (en) | Yemen (wd:Q805)                | Yemen (en)             |
| Hadhramaut Region (wd:Q16125588) | Hadhramaut Region (en) | Yemen (wd:Q805)                | Yemen (en)             |
| Jiangzhe Province (wd:Q11134689) | Jiangzhe Province (en) | Yuan dynasty (wd:Q7313)        | Yuan dynasty (en)      |

[Assistant]
Step-by-step summary of what I did:
- Step 1: Identified the Wikidata class for "province" (wd:Q34876) and the property for "country" (wdt:P17) and the property for "instance of" (wdt:P31).
- Step 2: Ran a small test query to verify provinces commonly use P17. I inspected sample results.
- Step 3: Built and executed a final SPARQL query that returns all items that are instance of province (wd:Q34876) together with their country (wdt:P17). The query returns the actual IRIs (?province and ?country) and optional English labels.

Now I will provide the final SPARQL query (which I executed) and a short summary of its results. Then I'll finish.

I will now return the final query and result summary.

[Tool] Stopped generation process